科技广场Issue(11)：17-20,4.
一种新改进的粒子群优化算法
An Improved Particle Swarm Optimization
吴烈阳 1俞智慧 2万佳 3段志翔4
作者信息
- 1. 江西省高速公路联网管理中心,江西南昌330003
- 2. 上饶师范学院数学与计算机科学学院,江西上饶334001
- 3. 江西省通用技术工程学校,江西九江330306
- 4. 江西科技职业学院,江西南昌330200
- 折叠
摘要
Abstract
Considering that the standard PSO easily falls into local optimization when it solves the multi-extremum problems,an improved PSO algorithm is proposed.In this algorithm,the evolution process is divided into two stages,while each stage uses a different model,so the possibility of getting local extreme value is reduced by make full use of the respective advantages of the two evolution model.The results of simulation show that the proposed algorithm in the paper has the better optimization performance than the standard PSO when solving the multi-extremum problems.关键词
粒子群优化算法/局部极值/进化模型Key words
Particle Swarm Optimization/Local Optimization/Evolution Model分类
信息技术与安全科学引用本文复制引用
吴烈阳,俞智慧,万佳,段志翔..一种新改进的粒子群优化算法[J].科技广场,2011,(11):17-20,4.
